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Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria

Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria

Yiqiao Liao
Parinaz Naghizadeh Ardabili
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Papers citing "Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria"

8 / 8 papers shown
Title
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification
Sura Alhanouti
Parinaz Naghizadeh
34
0
0
08 May 2025
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing
Yifan Yang
Yang Liu
Parinaz Naghizadeh
70
1
0
10 Apr 2025
Fair Machine Guidance to Enhance Fair Decision Making in Biased People
Fair Machine Guidance to Enhance Fair Decision Making in Biased People
Mingzhe Yang
Hiromi Arai
Naomi Yamashita
Yukino Baba
FaML
47
6
0
08 Apr 2024
Learning Fair Policies for Multi-stage Selection Problems from Observational Data
Learning Fair Policies for Multi-stage Selection Problems from Observational Data
Zhuangzhuang Jia
G. A. Hanasusanto
P. Vayanos
Weijun Xie
FaML
28
2
0
20 Dec 2023
Adaptive Data Debiasing through Bounded Exploration
Adaptive Data Debiasing through Bounded Exploration
Yifan Yang
Yang Liu
Parinaz Naghizadeh
FaML
37
7
0
25 Oct 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
493
0
31 Dec 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
390
4,271
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
215
2,094
0
24 Oct 2016